{"id":"W4298445647","doi":"10.1142/5760","title":"Computational Intelligence in Software Quality Assurance","year":2005,"lang":"en","type":"book","venue":"Series in machine perception and artificial intelligence","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Quality assurance; Software quality; Software quality assurance; Quality (philosophy); Software; Software engineering; Engineering; Software development; Operations management; Operating system; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006172356,0.001079888,0.0009944561,0.00259061,0.000403295,0.002704343,0.0008383472,0.0008640486,0.01016107],"category_scores_gemma":[0.002422479,0.0005150444,0.0003982995,0.0044757,0.001592087,0.004137311,0.000819143,0.002269562,0.003438734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025662,"about_ca_system_score_gemma":0.0009821174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227937,"about_ca_topic_score_gemma":0.002469216,"domain_scores_codex":[0.9994835,0.00007406323,0.00003288919,0.00005824827,0.0003318546,0.0000195315],"domain_scores_gemma":[0.998118,0.001322921,0.00006828861,0.0001678965,0.0002731286,0.00004984051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001443629,0.00003839099,0.0001279008,0.000489858,0.00002539436,0.00004486975,0.000212651,0.005553196,0.0006176953,0.3330963,0.1661188,0.4936606],"study_design_scores_gemma":[0.00001169458,0.00003362969,0.000641652,0.0006080306,0.00003462693,0.0003402249,0.0001115911,0.02027698,0.001132187,0.4171449,0.5596374,0.00002713576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002968461,0.2687007,0.3560768,0.008490609,0.005329058,0.0001125693,0.0002901998,0.001021726,0.3570099],"genre_scores_gemma":[0.08599679,0.2657146,0.1740017,0.002884461,0.006534558,0.0003324466,0.000873292,0.001011253,0.462651],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01016107,"threshold_uncertainty_score":0.03399217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04175911062487599,"score_gpt":0.3502769279419389,"score_spread":0.308517817317063,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}